New Caledonia vs East Timor: Carbon stocks in living biomass (in forests), Millions of Metric
New Caledonia
70.68
in 2023
East Timor
82.74
in 2023
New Caledonia rank
120th
East Timor rank
117th
Carbon stocks in living biomass (in forests), Millions of Metric over time
- New Caledonia
- East Timor
How they compare
East Timor currently reports 82.74 against 70.68 in New Caledonia, a difference of 12.06.
That makes East Timor's figure about 1.2 times New Caledonia's.
Across all 32 years both countries report, East Timor has been ahead every year.
New Caledonia ranks 120th and East Timor ranks 117th of 198 countries.
East Timor has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | New Caledonia | East Timor | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 70.43 | 86.22 | 15.78 | East Timor |
| 2000s | 70.73 | 85.08 | 14.34 | East Timor |
| 2010s | 70.75 | 83.82 | 13.07 | East Timor |
| 2020s | 70.69 | 82.93 | 12.24 | East Timor |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher carbon stocks in living biomass (in forests), millions of metric, New Caledonia or East Timor?
- East Timor, at 82.74 against 70.68 in New Caledonia as of 2023.
- What is the difference in carbon stocks in living biomass (in forests), millions of metric between New Caledonia and East Timor?
- 12.06, with East Timor ahead.
- How many years of comparable data are there for New Caledonia and East Timor?
- 32 years are reported by both, from 1992 to 2023.
- How do New Caledonia and East Timor rank globally for carbon stocks in living biomass (in forests), millions of metric?
- New Caledonia ranks 120th and East Timor ranks 117th of 198 countries.
- Where does this data come from?
- International Monetary Fund, published as Carbon stocks in living biomass (in forests), Millions of Metric Tonnes (Not Applicable). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
This dataset provides information on global climate and weather patterns, providing insights into temperature variations, land cover accounts, and shifts in mean sea levels.